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Machine learning to improve neonates' General Movements Assessment – MAGMA
From birth, the movement of the baby as a whole and, in particular, of each segment (arms, legs, trunk) carries essential information whose expression depends on the baby's neuro-anatomical and functional cerebral integrity. However, it has been neglected as an early predictive marker of later devel
Text-to-Video Synthesis for Creative Applications – RENAISSANCE
Synthetic media describes the use of Artificial Intelligence (AI) to generate and manipulate data, most often to automate the creation of entertainment (image, video, audio). Technological progress in this field fosters the use of AI algorithms in the creative industry by revolutionising the process
Single-Molecule Analysis of Human Genome Replication – SMAHGR
DNA replication is the most vital biological process. The faithful duplication of a cell’s genome is critical to preserve cell identity, genome integrity, and cell cycle progression. Defects in DNA replication are associated with developmental diseases, aging and cancer. Our goal is to depict a comp
Multi-Resolution Neural Networks – MuReNN
"Less is more", once the foundational motto of minimalist art, is making its way into artificial intelligence. After a maximalist decade of larger computers training larger neural networks on larger datasets (2012-2022), a countertrend arises. What if human-level performance could be achieved with l
Energy-Aware hybrid production SYstem RESCHEDuling – EasyRESCHED
Today, some industrial facilities don't just produce goods. They also generate their own energy, a trend that is expected to increase in the future. These companies use a variety of energy sources, including renewable energy suppliers, which are characterized by uncertain and fluctuating production.
Prediction Of Relapse Through Artificial Intelligence and multi-omics after allogeneic hematopoietic stem cell transplantation – PORTRAIT
Allogeneic hematopoietic stem cell transplantation (alloHSCT) is a curative therapy for hematologic malignancies through the graft-versus-tumor (GVT) effect. However, relapse remains the leading cause of post-transplant mortality. Two main mechanisms contribute to relapse: tumor-intrinsic immune esc
JUNE Project: Does the modeling of nasal airflows improve the pathophysiological understanding and the diagnosis of functional respiratory disorders? – JUNE
Chronic Nasal Obstruction (CNO) is not measurable in clinical practice and represents an important lack for the clinician. In addition, the components of the NO are poorly known. Simulating the passage of air in the nose from the computer processing of the patient's scanner is a technology inaccessi
Digital pathology for kidney transplant precision diagnostics – DEEPGRAFT
Rejection currently represents the major cause of allograft failure worldwide, with immediate consequences for the patients in terms of mortality, morbidity and cost for the society. Improvement of diagnostics and prognostics are required for better patient stratification, personalized treatment, an
